Process
Great recruiter process. Second only to Google for recruitment treatment.
Didn't pass the phone screen, but the recruiter was nice and contacted me within an hour with results.
Don't like the company per se, but the recruiter and interviewer were nice, and I heard they have great benefits.
Questions
Permutation problem.
Algorithmic phone screen.
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Interview Statistics
The following metrics were computed from 92 interview experiences for the Meta Machine Learning Engineer role in United States.
Success Rate
11%
Pass Rate
Meta's interview process for their Machine Learning Engineer roles in the United States is extremely selective, failing the vast majority of engineers.
Experience Rating
Positive53%
Neutral26%
Negative21%
Candidates reported having very good feelings for Meta's Machine Learning Engineer interview process in United States.
Meta Work Experiences
5.0
Brilliant Team, Frequent Reorgs
Machine Learning Engineer • Current Employee
Menlo Park, California, United States
March 15, 2024
Pros: Really brilliant coworkers doing amazing things. Some managers really know their tech, so it's very easy to get guidance.
Cons: Too much reorg. People are still on the previous project and get reorged into other teams.
5.0
Hopefully, stocks go up
Machine Learning Engineer • Current Employee
January 30, 2023
Pros: Interesting projects, great compensation, and a nice tech stack.
Cons: Work-life balance can be tough. Performance and standards can be tough.
3.0
Toxic culture in Ads
Machine Learning Engineer • Current Employee
Menlo Park, California, United States
June 2, 2024
Pros: You can learn many advanced ML techniques.
Cons: You won't have time to learn.
- 5.0Brilliant Team, Frequent ReorgsMachine Learning Engineer • Current EmployeeMenlo Park, California, United StatesMarch 15, 2024Pros: Really brilliant coworkers doing amazing things. Some managers really know their tech, so it's very easy to get guidance.Cons: Too much reorg. People are still on the previous project and get reorged into other teams.
- 5.0Hopefully, stocks go upMachine Learning Engineer • Current EmployeeJanuary 30, 2023Pros: Interesting projects, great compensation, and a nice tech stack.Cons: Work-life balance can be tough. Performance and standards can be tough.
- 3.0Toxic culture in AdsMachine Learning Engineer • Current EmployeeMenlo Park, California, United StatesJune 2, 2024Pros: You can learn many advanced ML techniques.Cons: You won't have time to learn.
Meta Interview Questions
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